Empirical Post-Generation Correctness Assessment for Natural-Language Access to Urban PostGIS Databases
Natural-language interfaces make urban spatial databases accessible, but generated structured query language (SQL) can execute successfully while returning a semantically incorrect answer. We evaluate a post-generation correctness-ranking layer on 18,900 candidates from Nanjing, Wuhan, and Shenzhen. The original city s...